{"id":{"repo_id":"utc","oai_identifier":"oai:scholar.utc.edu:theses-1987"},"canonical_url":"https://search.dev.ndltd.org/etd/utc/oai:scholar.utc.edu:theses-1987","repository":{"repo_id":"utc","name":"University of Tennessee - Chattanooga","base_url":"https://scholar.utc.edu/do/oai/"},"display":{"title":"Probabilistic risk assessment of system-level radiation effects","abstract":"System-level radiation effects analysis is performed using a time-dependent Probabilistic Risk Assessment (PRA) methodology. Data-driven models for the expected behavior of radiation-sensitive parts are instanced in a system model for Fault Tree Analysis (FTA). The system model is then solved using Bayesian Networks and Monte Carlo simulation in various mission environments, which may be dynamic and time-dependent. The results provide useful metrics of system reliability through hazardous radiation environments, identifying which failure modes and mission phases pose the greatest risk. A case study examining the NASA SpaceCube v2.0 processor demonstrates the PRA methodology with a comparison of risk in the International Space Station (ISS) and Geostationary Orbit (GEO) environments. The resulting analysis validates certain design choices and identifies the parts and subsystems which contribute most to system risk.","abstract_html":"System-level radiation effects analysis is performed using a time-dependent Probabilistic Risk Assessment (PRA) methodology. Data-driven models for the expected behavior of radiation-sensitive parts are instanced in a system model for Fault Tree Analysis (FTA). The system model is then solved using Bayesian Networks and Monte Carlo simulation in various mission environments, which may be dynamic and time-dependent. The results provide useful metrics of system reliability through hazardous radiation environments, identifying which failure modes and mission phases pose the greatest risk. A case study examining the NASA SpaceCube v2.0 processor demonstrates the PRA methodology with a comparison of risk in the International Space Station (ISS) and Geostationary Orbit (GEO) environments. The resulting analysis validates certain design choices and identifies the parts and subsystems which contribute most to system risk.","abstract_has_math":false,"creators":["Lawrence, Stephen"],"institution":"University of Tennessee at Chattanooga","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Loveless, Thomas Daniel","Reising, Donald R.; Ahmed, Raga","College of Engineering and Computer Science"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2024,"date_issued":"2024-01-31T08:00:00Z","date_published":"2024-01-31T08:00:00Z","updated_at":"2026-07-24T05:47:13Z","subjects":["Radiation tolerance","Radiation--Risk assessment","Integrated circuits--Effect of radiation on"],"languages":["English","eng"],"rights":[],"rights_urls":["http://rightsstatements.org/vocab/InC/1.0/"],"identifier_entries":[]},"links":{"outbound_url":"https://scholar.utc.edu/theses/799","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Loveless, Thomas Daniel","Reising, Donald R.; Ahmed, Raga","College of Engineering and Computer Science"]},{"key":"dc:creator","label":"Author","values":["Lawrence, Stephen"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2023-05-01T07:00:00Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2024-01-31T08:00:00Z"]},{"key":"dc:publisher","label":"Institution","values":["University of Tennessee at Chattanooga","Chattanooga (Tenn.)"]},{"key":"dc:relation","label":"Dc Relation","values":["Masters Theses and Doctoral Dissertations"]},{"key":"dc:type","label":"Dc Type","values":["Masters theses","Text"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Radiation tolerance","Radiation--Risk assessment","Integrated circuits--Effect of radiation on"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["English","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["http://rightsstatements.org/vocab/InC/1.0/"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://scholar.utc.edu/theses/799"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Dept. of Engineering","M. S.; A thesis submitted to the faculty of the University of Tennessee at Chattanooga in partial fulfillment of the requirements of the degree of Master of Science."]},{"key":"dc:description.abstract","label":"Abstract","values":["System-level radiation effects analysis is performed using a time-dependent Probabilistic Risk Assessment (PRA) methodology. Data-driven models for the expected behavior of radiation-sensitive parts are instanced in a system model for Fault Tree Analysis (FTA). The system model is then solved using Bayesian Networks and Monte Carlo simulation in various mission environments, which may be dynamic and time-dependent. The results provide useful metrics of system reliability through hazardous radiation environments, identifying which failure modes and mission phases pose the greatest risk. A case study examining the NASA SpaceCube v2.0 processor demonstrates the PRA methodology with a comparison of risk in the International Space Station (ISS) and Geostationary Orbit (GEO) environments. The resulting analysis validates certain design choices and identifies the parts and subsystems which contribute most to system risk."]},{"key":"dc:title","label":"Title","values":["Probabilistic risk assessment of system-level radiation effects"]}]}],"canonical_facts":{"dc:contributor":["Loveless, Thomas Daniel","Reising, Donald R.; Ahmed, Raga","College of Engineering and Computer Science"],"dc:creator":["Lawrence, Stephen"],"dc:date":["2023-05-01T07:00:00Z"],"dc:date.available":["2024-01-31T08:00:00Z"],"dc:description":["Dept. of Engineering","M. 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